Metaphors in Pre-Trained Language Models: Probing and Generalization Across Datasets and Languages
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Abstract (arXiv)
Human languages are full of metaphorical expressions. Metaphors help people understand the world by connecting new concepts and domains to more familiar ones. Large pre-trained language models (PLMs) are therefore assumed to encode metaphorical knowledge useful for NLP systems. In this paper, we investigate this hypothesis for PLMs, by probing metaphoricity information in their encodings, and by measuring the cross-lingual and cross-dataset generalization of this information. We present studies in multiple metaphor detection datasets and in four languages (i.e., English, Spanish, Russian, and Farsi). Our extensive experiments suggest that contextual representations in PLMs do encode metaphorical knowledge, and mostly in their middle layers. The knowledge is transferable between languages and datasets, especially when the annotation is consistent across training and testing sets. Our findings give helpful insights for both cognitive and NLP scientists.
Key facts. Cited by 30 papers in the map (data through 14 Oct 2026). Builds on 26 of its 52 references that are in the map. First posted on arXiv 26 Mar 2022.
Builds on
26 of 52 references.
References · 26
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Citing papers per year: 2022: 2; 2023: 9; 2024: 7; 2025: 7; 2026: 5.
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- 2023Having Beer after Prayer? Measuring Cultural Bias in Large Language Modelscited by 153
- 2022Testing the Ability of Language Models to Interpret Figurative Languagecited by 67
- 2023Multi-lingual and Multi-cultural Figurative Language Understandingcited by 47
- 2023MemeCap: A Dataset for Captioning and Interpreting Memescited by 46
- 2024Holmes: A Benchmark to Assess the Linguistic Competence of Language Modelscited by 26
- 2023IRFL: Image Recognition of Figurative Languagecited by 23
- 2025Representation Engineering for Large-Language Models: Survey and Research Challengescited by 21
- 2023A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detectioncited by 10
- 2024MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Languagecited by 10
- 2025Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphorscited by 10
- 2025Metaphor and Large Language Models: When Surface Features Matter More than Deep Understandingcited by 8
- 2024Unveiling the Invisible: Captioning Videos with Metaphorscited by 7
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- 2025Linguistic Interpretability of Transformer-based Language Models: a systematic reviewcited by 7
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- 2024Toward Informal Language Processing: Knowledge of Slang in Large Language Modelscited by 6
- 2024Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretationcited by 5
- 2025When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Modelscited by 5
- 2025Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor Processingcited by 5
- 2024Science is Exploration: Computational Frontiers for Conceptual Metaphor Theorycited by 4
- 2022Probing with Noise: Unpicking the Warp and Weft of Embeddingscited by 3
- 2023Multilingual Multi-Figurative Language Detectioncited by 3
- 2023Evaluating Large Language Models' Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarioscited by 2
- 2023Estimating Semantic Similarity between In-Domain and Out-of-Domain Samplescited by 1
- 2026Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasetscited by 1
- 2023Systematic word meta-sense extensioncited by 0
- 2025Mechanistic Interpretability of Socio-Political Frames in Language Modelscited by 0
- 2026Post-Hoc Understanding of Metaphor Processing in Decoder-Only Language Models via Conditional Scale Entropycited by 0
- 2026Towards High-Level Semantic Intelligencecited by 0
- 2026Figurative Justice: Detecting metaphors in Hindi judgements with qualitative assessment and transformerscited by 0
- 2026Cross-Dataset Stability of Expert-Informed Skill Prompting and Fine-Tuning for Chinese Metaphor Identificationcited by 0
- 2026Cross-Dataset Stability of Expert-Informed Skill Prompting and Fine-Tuning for Chinese Metaphor Identification26 Aug 2026
- 2026Figurative Justice: Detecting metaphors in Hindi judgements with qualitative assessment and transformers23 Aug 2026
- 2026Towards High-Level Semantic Intelligence27 Jul 2026
- 2026Post-Hoc Understanding of Metaphor Processing in Decoder-Only Language Models via Conditional Scale Entropy20 May 2026
- 2026Surprisal and Metaphor Novelty Judgments: Moderate Correlations and Divergent Scaling Effects Revealed by Corpus-Based and Synthetic Datasets5 Jan 2026
- 2025Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor Processing5 Oct 2025
- 2025Mechanistic Interpretability of Socio-Political Frames in Language Models4 Oct 2025
- 2025Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding21 Jul 2025
- 2025Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors8 Jun 2025
- 2025Linguistic Interpretability of Transformer-based Language Models: a systematic review9 Apr 2025
- 2025Representation Engineering for Large-Language Models: Survey and Research Challenges24 Feb 2025
- 2025When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models18 Feb 2025
18 more
- 2024Science is Exploration: Computational Frontiers for Conceptual Metaphor Theory11 Oct 2024
- 2024MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language19 Jun 2024
- 2024Unveiling the Invisible: Captioning Videos with Metaphors7 Jun 2024
- 2024Holmes: A Benchmark to Assess the Linguistic Competence of Language Models29 Apr 2024
- 2024Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation10 Apr 2024
- 2024Toward Informal Language Processing: Knowledge of Slang in Large Language Models2 Apr 2024
- 2024Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization2 Feb 2024
- 2023Systematic word meta-sense extension21 Nov 2023
- 2023Evaluating Large Language Models' Ability Using a Psychiatric Screening Tool Based on Metaphor and Sarcasm Scenarios19 Sep 2023
- 2023Estimating Semantic Similarity between In-Domain and Out-of-Domain Samples1 Jun 2023
- 2023Multilingual Multi-Figurative Language Detection31 May 2023
- 2023A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection27 May 2023
- 2023Multi-lingual and Multi-cultural Figurative Language Understanding25 May 2023
- 2023Having Beer after Prayer? Measuring Cultural Bias in Large Language Models23 May 2023
- 2023MemeCap: A Dataset for Captioning and Interpreting Memes23 May 2023
- 2023IRFL: Image Recognition of Figurative Language27 Mar 2023
- 2022Probing with Noise: Unpicking the Warp and Weft of Embeddings21 Oct 2022
- 2022Testing the Ability of Language Models to Interpret Figurative Language26 Apr 2022
- 2026Towards High-Level Semantic Intelligencecited by 0
- 2026Towards High-Level Semantic Intelligence27 Jul 2026
- 2023Having Beer after Prayer? Measuring Cultural Bias in Large Language Modelscited by 153
- 2022Testing the Ability of Language Models to Interpret Figurative Languagecited by 67
- 2023Multi-lingual and Multi-cultural Figurative Language Understandingcited by 47
- 2023MemeCap: A Dataset for Captioning and Interpreting Memescited by 46
- 2024Holmes: A Benchmark to Assess the Linguistic Competence of Language Modelscited by 26
- 2023IRFL: Image Recognition of Figurative Languagecited by 23
- 2023A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detectioncited by 10
- 2024MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Languagecited by 10
- 2025Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphorscited by 10
- 2025Metaphor and Large Language Models: When Surface Features Matter More than Deep Understandingcited by 8
- 2024Unveiling the Invisible: Captioning Videos with Metaphorscited by 7
- 2024Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalizationcited by 6
12 most cited of 25 All 25 (JSON)
- 2026Cross-Dataset Stability of Expert-Informed Skill Prompting and Fine-Tuning for Chinese Metaphor Identification26 Aug 2026
- 2026Figurative Justice: Detecting metaphors in Hindi judgements with qualitative assessment and transformers23 Aug 2026
- 2026Post-Hoc Understanding of Metaphor Processing in Decoder-Only Language Models via Conditional Scale Entropy20 May 2026
- 2025Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor Processing5 Oct 2025
- 2025Metaphor and Large Language Models: When Surface Features Matter More than Deep Understanding21 Jul 2025
- 2025Cultural Bias Matters: A Cross-Cultural Benchmark Dataset and Sentiment-Enriched Model for Understanding Multimodal Metaphors8 Jun 2025
- 2025When People are Floods: Analyzing Dehumanizing Metaphors in Immigration Discourse with Large Language Models18 Feb 2025
- 2024Science is Exploration: Computational Frontiers for Conceptual Metaphor Theory11 Oct 2024
- 2024MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language19 Jun 2024
- 2024Unveiling the Invisible: Captioning Videos with Metaphors7 Jun 2024
- 2024Holmes: A Benchmark to Assess the Linguistic Competence of Language Models29 Apr 2024
- 2024Meta4XNLI: A Crosslingual Parallel Corpus for Metaphor Detection and Interpretation10 Apr 2024
12 newest of 25 All 25 (JSON)